Search results
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2020
An evaluation of machine-learning for predicting phenotype: studies in yeast, rice, and wheat
Grinberg, N. F., Orhobor, O. I. & King, R. D., 01 Feb 2020, In: Machine Learning. 109, 2, p. 251-277Research output: Contribution to journal › Article › peer-review
Open Access132 Citations (Scopus) -
2017
Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery
Hickey, J., Chiurugwi, T., Mackay, I., Powell, W., Eggen, A., Kilian, A., Jones, C., Canales, C., Grattapaglia, D., Bassi, F., Atlin, G., Gorjanc, G., Dawson, I., Rabbi, I., Ribaut, J.-M., Rutkoski, J., Benzie, J., Lightner, J., Macharo, J. & Parmentier, J. & 15 others, , 01 Sept 2017, In: Nature Genetics. 49, 9, p. 1297-1303 7 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile314 Citations (Scopus)106 Downloads (Pure) -
2016
Germplasm dynamics: The role of ecotypic diversity in shaping the patterns of genetic variation in Lolium perenne
Blackmore, T., Thorogood, D., Skot, L., McMahon, R., Powell, W. & Hegarty, M., 03 Mar 2016, In: Scientific Reports. 6, 11 p., 22603.Research output: Contribution to journal › Article › peer-review
Open AccessFile24 Citations (Scopus)254 Downloads (Pure) -
Implementation of genomic prediction in Lolium perenne (L.) breeding populations
Grinberg, N., Lovatt, A., Hegarty, M., Macfarlane, A. C., Skot, K., Kelly, R., Blackmore, T., Thorogood, D., King, R. D., Armstead, I., Powell, W. & Skot, L., 12 Feb 2016, In: Frontiers in Plant Science. 7, FEB2016, 10 p., 133.Research output: Contribution to journal › Article › peer-review
Open AccessFile62 Citations (Scopus)239 Downloads (Pure)